This server has critical definition quality gaps. Both tools have minimal descriptions (under 50 chars) that lack context for LLM selection. Input schemas are present but extremely sparse, only a single string parameter with minimal description. No output schemas are documented. Tool names lack clarity about what data is returned. No error handling guidance, no parameter constraints, and no indication of what the tools actually return to the agent. The implementation shows hardcoded HTTP calls to external services (localhost:8001/8002) rather than proper MCP tool registration. This appears to be a LangChain wrapper around external services, not a native MCP server.

• Expand tool descriptions to 100-200 characters. Include WHAT the tool does, WHEN to use it, and WHAT it returns. Example: 'list_files_in_folder: Lists all files and subdirectories in a specified folder on the server. Use this to explore available data before reading specific files. Returns a list of filenames and their types (file/directory).'
• Document output schemas explicitly. Define what fields each tool returns (e.g., list_files_in_folder returns {files: [{name: string, type: 'file'|'directory', size: number}], total_count: number}). This enables LLMs to plan downstream calls.
• Add parameter constraints and validation. For folder_query, specify allowed paths or patterns. For city_query, add guidance: 'City name (2-50 characters, e.g., "New York", "London"). Partial names are supported.'
• Implement error handling with recovery guidance. Return structured errors: {error: 'folder_not_found', message: 'Folder "src/data" does not exist.', suggestions: ['Try listing parent folder: src', 'Available folders: src/tools, src/config']}
• Move tool logic into the MCP server itself rather than delegating to external HTTP services. This improves reliability, reduces latency, and simplifies deployment. If external services are needed, wrap them with proper timeout, retry, and fallback logic.